An Approach to Model-Based Development of Context-Aware Adaptive Systems

2011 ◽  
Author(s):  
Mahmoud Hussein ◽  
Jun Han ◽  
Alan Colman
Keyword(s):  
Adaptive Systems ◽  
Context Aware ◽  
Model Based

Proficiency-aware systems

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jakob Karolus ◽  
Paweł W. Woźniak
Keyword(s):  
Intelligent Systems ◽  
Adaptive Systems ◽  
Physiological Data ◽  
Context Aware ◽  
Stepping Stone ◽  
Digital World ◽  
Proficiency Estimation ◽  
The Way

Abstract In an increasingly digital world, intelligent systems support us in accomplishing many everyday tasks. With the proliferation of affordable sensing devices, inferring user states from collected physiological data paves the way to tailor-made adaptation. While estimating a user’s abilities is technically possible, such proficiency assessments are rarely employed to benefit the user’s task reflection. In our work, we investigate how to model and design for proficiency estimation as part of context-aware systems. In this paper, we present the definition and conceptual architecture of proficiency-aware systems. The concept is not only applicable to current adaptive systems but provides a stepping stone for systems which actively aid in developing user proficiency during interaction.

scholarly journals PALOT: Profiling and Authenticating Users Leveraging Internet of Things

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2832 ◽  
Author(s):  
Pantaleone Nespoli ◽  
Mattia Zago ◽  
Alberto Huertas Celdrán ◽  
Manuel Gil Pérez ◽  
Félix Gómez Mármol ◽  
...  
Keyword(s):  
Information System ◽  
Internet Of Things ◽  
System Model ◽  
Context Aware ◽  
Behavioral Patterns ◽  
Extended Version ◽  
Model Based ◽  
Continuous Authentication ◽  
Authentication And Authorization ◽  
Formal Information

Continuous authentication was introduced to propose novel mechanisms to validate users’ identity and address the problems and limitations exposed by traditional techniques. However, this methodology poses several challenges that remain unsolved. In this paper, we present a novel framework, PALOT, that leverages IoT to provide context-aware, continuous and non-intrusive authentication and authorization services. To this end, we propose a formal information system model based on ontologies, representing the main source of knowledge of our framework. Furthermore, to recognize users’ behavioral patterns within the IoT ecosystem, we introduced a new module called “confidence manager”. The module is then integrated into an extended version of our early framework architecture, IoTCAF, which is consequently adapted to include the above-mentioned component. Exhaustive experiments demonstrated the efficacy, feasibility and scalability of the proposed solution.

scholarly journals REACT-ION: A Model-based Runtime Environment for Situation-aware Adaptations

2020 ◽  
Vol 15 (4) ◽  
pp. 1-29
Author(s):  
Martin Pfannemüller ◽  
Martin Breitbach ◽  
Markus Weckesser ◽  
Christian Becker ◽  
Bradley Schmerl ◽  
...  
Keyword(s):  
Situation Awareness ◽  
Communication Systems ◽  
Adaptive Systems ◽  
Development Effort ◽  
Context Management ◽  
Model Based ◽  
Runtime Environment ◽  
Adaptive Capabilities ◽  
And Coping ◽  
Self Adaptive

Trends such as the Internet of Things lead to a growing number of networked devices and to a variety of communication systems. Adding self-adaptive capabilities to these communication systems is one approach to reducing administrative effort and coping with changing execution contexts. Existing frameworks can help reducing development effort but are neither tailored toward the use in communication systems nor easily usable without knowledge in self-adaptive systems development. Accordingly, in previous work, we proposed REACT, a reusable, model-based runtime environment to complement communication systems with adaptive behavior. REACT addresses heterogeneity and distribution aspects of such systems and reduces development effort. In this article, we propose REACT-ION—an extension of REACT for situation awareness. REACT-ION offers a context management module that is able to acquire, store, disseminate, and reason on context data. The context management module is the basis for (i) proactive adaptation with REACT-ION and (ii) self-improvement of the underlying feedback loop. REACT-ION can be used to optimize adaptation decisions at runtime based on the current situation. Therefore, it can cope with uncertainty and situations that were not foreseeable at design time. We show and evaluate in two case studies how REACT-ION’s situation awareness enables proactive adaptation and self-improvement.

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